Frequently Asked Questions
Learn how Attune keeps a current market read, prioritizes marketing and growth work, supports human-reviewed execution, and uses what changed to improve the next priority.
Understanding Attune
What does Attune do?
AI is reshaping every market and how companies go to market. Attune helps companies modernize how they operate and stay ahead of the competition. Attune is forward-deployed AI for marketing and growth teams: we give your team AI tools for every step, and AI agents that can take the work on, built around how your company works. In one system, your team captures what the market is saying, analyzes your data against your goals and the market, executes the work in your own software or with specialist AI agents, and improves with every result as you see how it moved your numbers and the market. Underneath is an intelligent OS, one data foundation of market signals, first-party data, and business context, so each cycle starts from what the last one learned.
What does forward-deployed AI mean?
Forward-deployed AI means AI built around how your company actually works: your market, your data, your objectives, your workflows, and your approvals, rather than a general tool your team has to adapt. Your team uses Attune’s AI tools directly, and its agents take on work inside the approvals you set. On the FDE support plan, forward-deployed engineers (FDEs) from Attune also integrate it into your stack and build custom tools, workflows, automations, and AI harnesses with you.
What is Continuous Marketing?
Continuous Marketing is a way of operating when markets change between planning cycles. Teams maintain a current market read, choose the most important response, move approved work forward, and compare fresh evidence with the earlier baseline. Attune runs those steps as one ongoing loop: capture what the market is saying, analyze where you stand, execute the work, and improve with every result.
Why does a continuous market read matter?
Buyer expectations, competitor narratives, search demand, reviews, publisher coverage, social discussion, and AI responses can change before the next planning cycle. A continuous read helps teams see meaningful changes early enough to reconsider priorities and keep marketing and growth work aligned with the market.
Is Attune an AI visibility or AEO platform?
AI-answer visibility is one signal Attune can track. Attune also examines the sources and public information shaping those answers, broader search and market signals, and the internal context a company chooses to connect. The product is built to improve marketing decisions and coordination, with changes in AI answers treated as one possible downstream signal.
How is Attune different from a dashboard or one-time audit?
Attune connects the market read to a prioritized work queue, reviewable execution, and a fresh read after work is completed. The evidence, decisions, completed work, and later results remain connected for future cycles. That gives teams an operating loop as well as a record of what was observed.
How is Attune different from using a general-purpose LLM?
A general-purpose LLM works from the context supplied in a prompt or conversation. Attune works from a structured market read, the company data and tools you connect, marketing-specific workflows, and a retained history of priorities, completed work, and later evidence. Its agents are designed around those marketing jobs and review steps.
Is Attune software, a service, or both?
Both, depending on the plan. Every plan starts with a demo and onboarding. On Platform, your team runs Attune and its AI agents directly and sets up its own integrations and automations. FDE support adds forward-deployed engineers (FDEs) who integrate Attune with your data, tools, and systems and build custom tools, workflows, automations, and AI harnesses for your team. See Pricing for details.
Market Read and Context
What information does Attune bring together?
Attune combines external market signals with the first-party context a company chooses to connect. External signals can include search, publisher coverage, reviews, communities, social sources, competitor pages, owned pages, citations, and AI answers. Connected context can include analytics, Search Console, CMS or storefront data, documents, product information, and approved internal sources.
What role do AI answers play?
AI answers are useful because they compress information from many sources into framing a buyer may encounter. Attune reads the answer, citations, and source material together, then looks for patterns across questions and over time. The answer remains one piece of evidence within the larger market read.
Can Attune connect to our internal data and tools?
Yes, based on scope and the connections you approve. Examples include analytics and Search Console, CMS and storefront data such as Webflow or Shopify, Google Workspace, and approved internal connections through MCP. Connected data adds company and performance context to the external market read.
Can we use Attune inside our own AI systems?
Yes. Attune exposes its data foundation over MCP, so you can query your market from Claude, ChatGPT, or agents your own team builds. Custom applications can also be built on the same foundation by your team or with implementation support, within the agreed scope.
Can Attune trace findings back to sources?
Attune keeps findings tied to the prompts, citations, pages, publishers, reviews, competitor materials, and owned sources behind them. That evidence lets the team inspect why a finding exists and decide whether the suggested work is warranted.
Can we ask Attune questions in natural language?
Yes. Attune’s AI layer uses the market signals and company context available in the workspace. Teams can ask what changed, which sources shape a comparison, why an objection keeps appearing, or which work has the strongest evidence.
How often is the market read updated?
You set the collection interval for market data, whether daily, weekly, monthly, or another schedule. Data you bring in is read live from the connectors you approve.
Priorities, Agents, and Learning
How does Attune decide what work matters next?
Attune ranks work using the strength of the evidence, likely impact, connected company context, and the team’s ability to act. Each recommendation includes the reasoning behind it so people can apply their own judgment before committing resources.
What happens after Attune identifies a gap?
A gap becomes scoped, reviewable work with the supporting evidence, rationale, suggested action, owner or team, acceptance criteria, and a plan for checking what changed. The work might be a page or proof update, a comparison, an outreach brief, a battlecard, a documentation change, or another marketing task supported by the evidence.
What do Attune’s marketing agents do?
Attune’s specialist AI agents research, synthesize, draft, and prepare work using the available market and company context. They can help move approved work toward the tools a team uses. People remain responsible for judgment, refinement, permissions, approval, and publication.
Does Attune publish changes automatically?
Attune is designed to keep the team in control. Agents prepare and route work within the permissions and review process the team configures, while people decide what is approved and what is published. Some findings may need more context or no action at all.
How does Attune verify what changed?
Attune connects completed work to a fresh read of the relevant signals and compares that evidence with the earlier baseline. Depending on the task, that may include changes in answer framing, citations, search visibility, source coverage, page behavior, or another configured measure. Observed market change remains separate from a commercial outcome such as revenue.
What happens when a change does not help?
Attune records the result as helped, no movement yet, regressed, or needs more data. That outcome stays attached to the work and becomes context for whether to wait, revise the approach, gather more evidence, or prioritize something else.
How does Attune learn over time?
Completed work, timing, baselines, and later reads stay connected in the platform. Attune can use that history when suggesting the next priority, including evidence that a previous approach helped, stalled, regressed, or remains unclear. Later recommendations start with more context than a fresh, disconnected analysis.
Fit and Engagement
Who is Attune for?
Attune is for teams managing research-intensive buying journeys and markets where narratives, comparisons, proof, and source influence change what buyers consider. Common users include marketing, content, brand, PR Comms, SEO, AEO, revenue, and leadership across B2B SaaS, brands, publishers, entertainment, healthcare, and other considered-purchase categories.
Does Attune replace a marketing and growth team?
No. Attune adds decision support and execution capacity around work the team still owns. It helps people decide what matters, prepares work, preserves evidence, and tracks later results; the team supplies domain judgment, final context, approval, and accountability.
What does an engagement look like?
An engagement starts by defining your company, competitors, category, buyer questions, collection intervals, and connected context. The first market read connects those signals to your priorities and workflows. Deployment and implementation support are scoped with your team.
How should teams evaluate Attune’s impact?
Teams can evaluate Attune at three levels: whether it found and prioritized useful work, whether the work was completed, and whether the relevant market signals changed afterward. Connected performance and commercial data can add downstream context. Commercial outcomes require their own evidence and timeframe.
How much does Attune cost?
Both plans start with a demo and onboarding. Platform, for teams that run Attune themselves, starts at $2,500 per month. FDE support, which adds forward-deployed engineers who integrate Attune and build custom tools, workflows, automations, and AI harnesses, starts at $7,500 per month. Final pricing depends on data volume and deployment scope. Pricing is scoped around your market and use case, not a seat count. See Pricing for what each plan includes.
Who is Attune not a fit for?
Attune is a weak fit for teams that want only a static visibility score, a one-off screenshot, or a stream of AI-generated content with no operating owner. It works best when a team can review evidence, decide what matters, and act on prioritized marketing and growth work.
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